The properties of property alignment on the semantic web
Abstract
The performance of alignment systems on property matching lags behind that on class and instance matching. This work seeks to understand the reasons for this and consider avenues for improvement. The paper contains an exploration of the performance of current alignment systems on the only commonly accepted alignment benchmark that involves matches between properties. A second benchmark involving properties from DBPedia and YAGO, scaled to be within the capabilities of most existing alignment systems, is also proposed. A basic approach focused on aligning properties is then presented and evaluated using both benchmarks to serve as a baseline against which to compare more complex matchers on the property alignment task. The results show that even a relatively simplistic approach can achieve a significantly higher F-measure than current matchers. Finally, an existing full-featured alignment system is augmented with the basic property matching approach and the difference in performance is assessed.
References
[1]
Amini, R. (2016) Towards Best Practices for Crowdsourcing Ontology Alignment Benchmarks, PhD Thesis, Wright State University.
[2]
Cheatham, M. and Hitzler, P. (2013) 'String similarity metrics for ontology alignment', Proceedings of the International Semantic Web Conference, Springer, pp.294-309.
[3]
Cheatham, M. and Hitzler, P. (2014a) 'Conference v2. 0: an uncertain version of the oaei conference benchmark', Proceedings of the International Semantic Web Conference, Springer, pp.33-48.
[4]
Cheatham, M. and Hitzler, P. (2014b) 'The properties of property alignment', Proceedings of the 9th International Conference on Ontology Matching - Volume 1317, CEUR-WS. org, pp.13-24.
[5]
Cheatham, M., Dragisic, Z., Euzenat, J., Faria, D., Ferrara, A., Flouris, G., Fundulaki, I., Granada, R., Ivanova, V. and Jiménez-Ruiz, E. et al. (2015) 'Results of the ontology alignment evaluation initiative', Proceedings of the 10th ISWC Workshop on Ontology Matching (OM), pp.60-115.
[6]
Dragisic, Z., Ivanova, V., Lambrix, P., Faria, D., Jiménez-Ruiz, E. and Pesquita, C. (2016) 'User validation in ontology alignment', Proceedings of the International Semantic Web Conference, Springer, pp.200-217.
[7]
Faria, D., Pesquita, C., Santos, E., Palmonari, M., Cruz, I.F. and Couto, F.M. (2013) 'The agreementmakerlight ontology matching system', OTM Confederated International Conferences on the Move to Meaningful Internet Systems, Springer, pp.527-541.
[8]
Gunaratna, K., Thirunarayan, K., Jain, P., Sheth, A. and Wijeratne, S. (2013) 'A statistical and schema independent approach to identify equivalent properties on linked data', Proceedings of the 9th International Conference on Semantic Systems, ACM, pp.33-40.
[9]
Jiménez-Ruiz, E. and Grau, B.C. (2011) Logmap: logic-based and scalable ontology matching', Proceedings of the International Semantic Web Conference, Springer, pp.273-288.
[10]
Li, J., Tang, J., Li, Y. and Luo, Q. (2009) 'Rimom: a dynamic multistrategy ontology alignment framework', IEEE Transactions on Knowledge and Data Engineering, Vol. 21, No. 8, pp.1218-1232.
[11]
Liu, Y., Chen, S-H. and Gu, J-G. (n.d.) Property Alignment of Linked Data Based on Similarity between Functions, Order, Vol. 8, No. 4.
[12]
Maedche, A. and Staab, S. (2002) 'Measuring similarity between ontologies', Proceedings of the International Conference on Knowledge Engineering and Knowledge Management, Springer, pp.251-263.
[13]
Melnik, S., Garcia-Molina, H. and Rahm, E. (2002) 'Similarity flooding: a versatile graph matching algorithm and its application to schema matching', Proceedings of the 18th International Conference on Data Engineering, IEEE, pp.117-128.
[14]
Mortensen, J., Musen, M.A. and Noy, N.F. (2013) 'Crowdsourcing the verification of relationships in biomedical ontologies', Journal of the American Medical Informatics Association.
[15]
Noy, N.F. and Hafner, C.D. (1997) 'The state of the art in ontology design: a survey and comparative review', AI Magazine, Vol. 18, No. 3, p.53.
[16]
Pernelle, N., Sas, F., Safar, B., Koutraki, M. and Ghosh, T. (2013) 'N2r-part: identity link discovery using partially aligned ontologies', Proceedings of the 2nd International Workshop on Open Data, ACM, p.6.
[17]
Ritze, D., Meilicke, C., ?váb-Zamazal, O., Stuckenschmidt, H. (2009) 'A pattern-based ontology matching approach for detecting complex correspondences', Proceedings of the 4th International Conference on Ontology Matching- Volume 551, Germany, pp.25-36.
[18]
Suchanek, F., Abiteboul, S. and Senellart, P. (n.d.) Ontology alignment at the instance and schema level, arXiv preprint arXiv:1105.5516.
[19]
Suchanek, F.M., Abiteboul, S. and Senellart, P. (2011) 'Paris: probabilistic alignment of relations, instances, and schema', Proceedings of the VLDB Endowment, Vol. 5, No. 3, pp.157-168.
[20]
?váb, O. (2007) 'Exploiting patterns in ontology mapping', The Semantic Web, Springer, pp.956-960.
[21]
Sváb-Zamazal, O., Svátek, V. and Scharffe, F. et al. (2009) 'Pattern-based ontology transformation service', Proceedings of the 1st IK3C International Conference on Knowledge Engineering and Ontology Development (KEOD), pp.210-223.
[22]
Svátek, V., ?váb-Zamazal, O. and Presutti, V. (2009) 'Ontology naming pattern sauce for (human and computer) gourmets', Proceedings of the International Conference on Ontology Patterns, pp.171-178.
[23]
Toutanova, K., Klein, D., Manning, C.D. and Singer, Y. (2003) 'Feature-rich part-of-speech tagging with a cyclic dependency network', Proceedings of the Conference of the North American Chapter of the Association for Computational Linguistics on Human Language Technology-Volume 1, Association for Computational Linguistics, pp.173-180.
[24]
Vizenor, L.T. and Bodenreider, O. and McCray, A.T. (2009) 'Auditing associative relations across two knowledge sources', Journal of Biomedical Informatics, Vol. 42, No. 3, pp.426-439.
[25]
Zhao, L. and Ichise, R. (2013) 'Instance-based ontological knowledge acquisition', Extended Semantic Web Conference, Springer, pp.155-169.
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Published: 01 January 2018
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